QUANTITATIVE ESTIMATES OF THE ERROR IN MAINTAINING THE FORMATION OF UNDERWATER VEHICLES WITH DELAYS IN NAVIGATION DATA

Abstract

The influence of delays in receiving navigation information on maintaining a formation of underwater vehicles in the leader-followers mode is studied. The study is based on the assumption of a gradient principle of formation control during movement. The complexity of the problem is due to the unknown trajectory of the leader, incomplete knowledge and non-stationarity of the environment, and measurement errors. The obtained results are independent of the configuration of vehicles in the formation. It is shown that it is sufficient to study the influence of navigation delays on the motion of a single vehicle. Key assumptions: the trajectory of the leader is unknown; all interactions between the leader and follower vehicles are synchronized; the leader transmits its coordinates to the other vehicles at a certain frequency; displacements of the follower from its position in the formation can occur in any spatial direction. It is assumed that between receiving data on the leader's position, the follower vehicle moves in a straight line in a direction that can be chosen in many ways. One option for choosing such a direction is considered, and a mathematical model of the motion is constructed. Since the moment of information receipt is unknown, a nonlinear law is used to describe the follower's motion, taking into account the distance to the target point. Estimates of the vehicle's deviation from the target position in the formation at each moment in time are found, as well as average estimates of its deviation over the time interval between receiving navigation information and over the entire trajectory. An upper bound for the integral deviation is proposed and substantiated, allowing for a simple interpretation of the factors influencing deviation and formation breakdown.

References

1. Inzartsev A.V., Kiselev L.V., Kostenko V.V., Matvienko Yu.V., Pavin A.M., Shcherbatyuk A.F. Podvodnye robototekhnicheskie kompleksy: sistemy, tekhnologii, primenenie [Underwater robotic complexes: sys-tems, technologies, application], Izd-vo FGBUN In-t problem morskikh tekhnologiy DVO RAN, 2018, 368 p.

2. Inzartsev A.V., Kiselev L.V., Matvienko Yu.V. Navigatsiya i upravlenie avtonomnykh podvodnykh ro-botov [Navigation and control of autonomous underwater robots], Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2010, No. 3 (104), pp. 164-169.

3. Yang Y., Xiao Y., Li T. A Survey of Autonomous Underwater Vehicle Formation: Performance, For-mation Control, and Communication Capability, IEEE Communications Surveys & Tutorials, 2021, Vol. 23, No. 2, pp. 815-841.

4. Hadi B. Adaptive Formation Motion Planning and Control of Under-Actuated Autonomous Underwater Vehicles Using Deep Reinforcement Learning, 2023.

5. Schaub H., Vadali S.R., Alfriend K.T. Spacecraft formation flying control using mean orbit elements, Journal of the Astronautical Sciences, 2000, Vol. 48, No. 1, pp. 69-87.

6. Das B., Subudhi B., Pati B.B. Cooperative Formation Control of Autonomous Underwater Vehicles: An Overview, International Journal of Automation and Computing, 2016, Vol. 13, No. 3, pp. 199-225.

7. Hadi B., Kharrati H., Tatar Y. A Review of the Path Planning and Formation Control for Autonomous Underwater Vehicles, Journal of Intelligent & Robotic Systems, 2021, Vol. 101, Article 44.

8. Das A.K., Fierro R., Kumar V., Ostrowski J.P., Spletzer J., Taylor C.J. A vision-based formation con-trol framework, IEEE Transactions on Robotics and Automation, 2002, Vol. 18, No. 5, pp. 813-825.

9. Lawton J.R., Beard R.W., Young B.J. A decentralized approach to formation maneuvers, IEEE Transac-tions on Robotics and Automation, 2003, Vol. 19, No. 6, pp. 933-941.

10. Lewis M.A., Tan K.-H. High precision formation control of mobile robots using virtual structures, Au-tonomous Robots, 1997, Vol. 4, No. 4, pp. 387-403.

11. Li L., Yan Z., Yu S. et al. Formation Control of Multiple Autonomous Underwater Vehicles under Communication Delay, Packet Discreteness and Dropout, Journal of Marine Science and Engineering, 2022, Vol. 10, No. 7, Article 920.

12. Yan T. et al. Formation Control of Multiple Autonomous Underwater Vehicles: A Comprehensive Overview of Recent Advances, Intelligence & Robotics, 2023.

13. Chen Y., Li C., Chen J. et al. A Formation Control Method for AUV Group Under Communication Constraints, Frontiers in Bioengineering and Biotechnology, 2022, Vol. 10, Article 848641.

14. Bechlioulis C.P., Karras G.C., Heshmati-Alamdari S., Kyriakopoulos K.J. Robust Formation Control for Multiple Underwater Vehicles, Frontiers in Robotics and AI., 2019, Vol. 6, Article 90.

15. Fan X., Guo Y., Liu H., Wei B., Lyu W. Improved Artificial Potential Field Method Applied for AUV Path Planning, Mathematical Problems in Engineering, 2020, Article 6523158, 21 p. DOI: 10.1155/2020/6523158.

16. Beloglazov D.A., Gayduk A.R., Kosenko E.Yu. i dr. Gruppovoe upravlenie podvizhnymi ob"ektami v neopredelennykh sredakh [Group control of moving objects in uncertain environments], ed. by V.Kh. Pshikhopova. Moscow: Fizmatlit, 2015, 304 p.

17. Filimonov A.B., Filimonov N.B., Barashkov A.A. Voprosy postroeniya potentsial'nykh poley v zadachakh lokal'noy navigatsii mobil'nykh robotov [Issues of constructing potential fields in problems of local navigation of mobile robots], Avtometriya [Autometria], 2019, Vol. 55, No. 4, pp. 65-70.

18. Guldner J., Utkin V.I. Tracking the gradient of artificial potential fields: Sliding mode control for mobile robots, International Journal of Control, 1996, Vol. 63, No. 3, pp. 417-432.

19. Yan Z., Li L., Yu S. et al. Adaptive Formation Control of Unmanned Underwater Vehicles with Collision Avoidance and Environment Adaptation, Journal of Marine Science and Engineering, 2022,

Vol. 10, No. 4, Article 516.

20. Xia G., Zhang Y., Zhang W., Chen X., Yang H. Multi-timescale 3-D Coordinated Formation Control for Multi-Underactuated AUV with Uncertainties: Design and Stability Analysis Using Singular Perturba-tion Methods, Ocean Engineering, 2021, Vol. 230, Article 109053. DOI: 10.1016/j.oceaneng.2021.109053.

21. Karkishchenko A.N. Gradientnyy metod formirovaniya stroya podvodnykh apparatov na osnove veroyatnostnogo funktsionala [Gradient method for forming a formation of underwater vehicles based on a probabilistic functional], Mekhatronika, avtomatizatsiya, upravlenie [Mechatronics, Automation, Control], 2025, Vol. 26, No. 4, pp. 209-219.

22. Zhen Q. et al. Formation Control of a Multi-AUVs System Based on Virtual Structure and Artificial Potential Field, Ocean Engineering, 2022.

Скачивания

Published:

2026-09-10

Issue:

Section:

SECTION II. DATA ANALYSIS AND MODELING

DOI:

Keywords:

Underwater vehicle, leader-followers, formation maintenance, position evasion, upper estimates

For citation:

Karkishchenko А.N. QUANTITATIVE ESTIMATES OF THE ERROR IN MAINTAINING THE FORMATION OF UNDERWATER VEHICLES WITH DELAYS IN NAVIGATION DATA. IZVESTIYA SFedU. ENGINEERING SCIENCES. – 2026. - № 4. – P. 212-226.